Associate Machine Learning Educator

Join our team to empower the next generation of startups grow their AI literacy and drive innovation

- Amor Provins Product Owner Startups

About the Role

Reporting to the Technical Product Advisor the Associate Machine Learning Educator utilizes exceptional content development and delivery skills to help organizations and individuals grow their AI literacy and gain the necessary knowledge and skills for success in AI. The Associate Machine Learning Educator leverages their scientific knowledge to guide the exploration and development efforts of Amiis industry partners and clients providing training education insight and advice on early-stage ML development and strategy.

The position focuses on achieving excellence in three main accountabilities:

• Client Success: Collaborate with Amii clients to build trust and drive the progress of their machine learning projects and capabilities.
• Machine Learning Expertise: Contribute Machine Learning expertise and stay current on the application of ML/AI in a broad range of technical areas and domains.
• Development & Delivery:
  Identify build maintain and deliver engaging relevant content that meets clients needs in a blended learning environment.

Required Skills / Expertise

Key Responsibilities:

Client Success

• Serves as a trusted advisor and education facilitator to Startup clients guiding them in identifying how AI and ML tools can effectively address their business challenges
• Leads Machine Learning Exploration workshops for Startup clients
• Fosters a supportive learning environment that encourages exploration and growth in AI literacy
• Provides training and guidance on machine learning concepts strategies and best practices
• Develops and nurtures strong relationships with clients through effective communication and scientific excellence

Machine Learning Expertise

• Establishes themselves firmly as a trusted subject matter expert in startup business growth practices and machine learning techniques relevant to startups
• Advises clients on machine learning best practices and strategies to meet their objectives enhancing client engagement
• Contributes to a positive team environment by actively participating in meetings brainstorming sessions and activities
• Provides mentorship to technical peers non-technical peers and work integrated learning opportunity students (WILOs)
• Represents the organization at conferences workshops and industry events

Development & Delivery

• Builds and delivers high-quality educational content to enhance AI literacy for organizations and individuals
• Facilitates group activities that encourage participation and collaboration among participants
• Stays current on the latest advancements in AI and machine learning to ensure training materials are current and relevant
• Gathers and reviews feedback from training participants to assess the effectiveness of educational programs

Qualifications:

• Post Secondary Degree in Machine Learning Education or related field
• 1-3 years of applied AI experience
• Experience in building and delivering curriculum and designing effective learning exercises
• Proven ability to connect with diverse audiences and facilitate meaningful learning experiences
  
• Proficient in eLearning systems (i.e. Rise)
• Experience working at a startup or with startups (nice to have)

Knowledge Skills and Abilities (KSA):

• Organizational and time management skills with the ability to prioritize and manage multiple projects simultaneously
• Exceptional communication and interpersonal skills with the ability to effectively communicate with technical and non-technical stakeholders
• Demonstrates a positive group-win approach and a willingness to help learn and share
• Collaborates with staff and experts seeking input and support as needed
• Demonstrates independence self-confidence sound judgment and superior problem-solving abilities
• Able to identify gaps in knowledge and triage their own learning appropriately
• Promotes high-level cross-functional collaboration and establishes credibility while influencing peers to achieve common goals

What youll love about us

• A professional yet casual work environment that encourages the growth and development of your skills
• Participate in professional development activities
• Gain access to the Amii community and events
• A chance to learn from amazing teammates who support one another to succeed
• Competitive compensation including paid time off and flexible health benefits
• A modern office located in downtown Edmonton Alberta

About Amii

One of Canadas three main institutes for artificial intelligence (AI) and machine learning our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions) training some of the worlds top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

How to Apply

If this sounds like the opportunity youve been waiting for please dont wait for the closing December 12 2025 to apply - were excited to add a new member to the Amii team for this role and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application please send your resume and cover letter indicating why you think youd be a fit for your cover letter please include one professional accomplishment you are most proud of and why.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity religion gender identity sexual orientation age or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.

Required Experience:

IC